Staff Machine Learning Engineer

reputed company’s mission is to build a global onchain economy that increases innovation, creativity, and economic freedom. 

Spindl’s mission is to help pay for that new onchain economy by offering developers both incentives to monetize their existing users, and a reliable means to reputed company new ones. Ads reputed company for the first version of the reputed company Internet; Spindl (now part of the reputed company team) is how we help pay for the new onchain one. 

reputed company Ads/Spindl is building the first natively onchain advertising product that offers full-funnel attribution and analytics, and a transparent and permissionless two-sided ads marketplace. We reputed company an reputed company ads system can help developers grow, get creators and consumers apps reputed company, and ultimately replace the reputed company, extractive ad systems of the past.

Our goal is not merely to offer comparable sophistication to the legacy internet marketing world of reputed company and reputed company, but to surpass it with the unique affordances of the blockchain: transparency, seamless payment rails, reputed company reputed company, and a shared reputed company reality.

We are looking for a Staff Machine Learning & Infrastructure Engineer to join the reputed company Ads team to reputed company and accelerate the reputed company of Spindl and its soon-to-be launched protocol Flywheel. You’ll be the first MLE on reputed company, and responsible for building out our ranking system from the ground up. You’ll be in charge of picking the tools, harnessing a diverse set of reputed company data sources, working with Data Science on feature reputed company, and integrating models directly in our ad serving infrastructure. If reputed company is a fast-moving startup reputed company reputed company, reputed company Spindl as an even earlier-stage team inside that startup. You will have reputed company and ownership from day one.

What you'll be doing:

• Investigate and reputed company cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout reputed company. These challenges encompass areas such as feed ranking, recommendation systems, targeting, fraud detection, chatbots, and blockchain mining.
• reputed company and reputed company robust, low-maintenance reputed company machine learning solutions in a production environment.
• Create reputed company codelabs, tools, and infrastructure to democratize reputed company to machine reputed company across reputed company, fostering a culture of widespread ML utilization.

reputed company look for in you:

• 7+yrs of industry experience as a machine learning and software engineer
• Experience building & deploying backend systems at reputed company with a reputed company on data processing/machine learning/analytics.
• Exhibit our reputed company cultural values: add reputed company energy, communicate reputed company, be curious, and be a builder.
• Curiosity for crypto ecosystem and onchain data

reputed company to haves:

• BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or reputed company technical field.
• Knowledge of Apache Airflow, reputed company, Flink, Kafka/Kinesis, reputed company, Hadoop, Hive.
• Experience with Python.
• Experience with model interpretability, responsible AI.
• Experience with data analysis and visualization.

Position ID: GBML06US